<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Human resources equipped with innovative entrepreneurial abilities are a vital catalyst in advancing enterprise development and the socio-economic landscape, as well as in transforming old and new kinetic energies. This study explores methods for fostering innovation and entrepreneurship among college students within the sphere of scientific and technological advancement. We developed an index system to measure these abilities and designed a questionnaire to assess the factors influencing student entrepreneurship. Our analysis, utilizing the Markov model and multiple regression, examines the skills of students from Universities A and B and identifies key factors that influence their entrepreneurial capabilities. The general proficiency of students at Universities A and B is moderate, with overall scores of 75.24 and 76.28, respectively. The data indicates that student capabilities increase alongside their academic progression. Influential factors contributing to innovation include curriculum teaching (0.054), campus atmosphere (0.041), and research conditions (0.047), with curriculum teaching playing a significant role. Higher education institutions must enhance students’ holistic abilities. By creating a diverse innovation-driven curriculum, these institutions can effectively boost the innovation and entrepreneurship skills of engineering students.</p>
</abstract>

Human resources equipped with innovative entrepreneurial abilities are a vital catalyst in advancing enterprise development and the socio-economic landscape, as well as in transforming old and new kinetic energies. This study explores methods for fostering innovation and entrepreneurship among college students within the sphere of scientific and technological advancement. We developed an index system to measure these abilities and designed a questionnaire to assess the factors influencing student entrepreneurship. Our analysis, utilizing the Markov model and multiple regression, examines the skills of students from Universities A and B and identifies key factors that influence their entrepreneurial capabilities. The general proficiency of students at Universities A and B is moderate, with overall scores of 75.24 and 76.28, respectively. The data indicates that student capabilities increase alongside their academic progression. Influential factors contributing to innovation include curriculum teaching (0.054), campus atmosphere (0.041), and research conditions (0.047), with curriculum teaching playing a significant role. Higher education institutions must enhance students’ holistic abilities. By creating a diverse innovation-driven curriculum, these institutions can effectively boost the innovation and entrepreneurship skills of engineering students.

Research on the Monitoring and Evaluation System for the Growth of Innovation and Entrepreneurship Ability of College Students Based on Markov Model

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Human resources equipped with innovative entrepreneurial abilities are a vital catalyst in advancing enterprise development and the socio-economic landscape,...

Research on the Monitoring and Evaluation System for the Growth of Innovation and Entrepreneurship Ability of College Students Based on Markov Model

Online veröffentlicht: 22. Mai 2024

Seitenbereich: -

Eingereicht: 07. Feb. 2024

Akzeptiert: 18. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-1159

Schlüsselwörter
Markov model, Multiple regression analysis, Innovation and entrepreneurship, Evaluation indicators, Influence factors

© 2024 Changfang Cao, et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on the Monitoring and Evaluation System for the Growth of Innovation and Entrepreneurship Ability of College Students Based on Markov Model

Online veröffentlicht: 22. Mai 2024

Seitenbereich: -

Eingereicht: 07. Feb. 2024

Akzeptiert: 18. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-1159

SchlüsselwörterMarkov model, Multiple regression analysis, Innovation and entrepreneurship, Evaluation indicators, Influence factors

© 2024 Changfang Cao, et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Markov model, Multiple regression analysis, Innovation and entrepreneurship, Evaluation indicators, Influence factors